ChipsThe story, in brief

Accelerating Vision-Language Models: BridgeTower on Habana Gaudi2

Vision-language models just got faster. Here's what Intel's Habana Gaudi2 means for inference costs.

Illustration of a transparent lens revealing connected networks across layers of paper.
Exploring the next frontier of AI research.AI illustration by KeyNews
The KeyNews take

Why it matters

As vision-language models become production-critical, hardware acceleration is shifting from NVIDIA dominance. Intel's Habana Gaudi2 delivering measurable speedups on BridgeTower signals a new player in the inference infrastructure race—with implications for deployment economics and vendor lock-in.

The key facts

10 to know
  1. BridgeTower vision-language model optimized for Habana Gaudi2 hardware

  2. Intel Habana Gaudi2 positioned as NVIDIA GPU alternative for inference

  3. Focus on acceleration and inference efficiency for multimodal models

  4. Published June 2023 (older data—verify current performance benchmarks)

  5. Hugging Face collaboration signals industry adoption pathway

  6. BridgeTower vision-language model optimized for Habana Gaudi2

  7. Published June 29, 2023 on Hugging Face (authoritative source)

  8. Focus on inference acceleration and hardware efficiency

  9. Demonstrates viability of Intel-backed Habana chips for AI workloads beyond language models

  10. Multimodal (vision + language) training/inference benchmark

Go to the source

Hugging Face Bloghuggingface.co

Read original report
Back to today's editionMore chips news

The wider picture

View all
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
AI illustration by KeyNews
Chips01

Exclusive: CoreWeave launches Remote Key Encryption to keep customer keys off its cloud

Enterprise security requirements have stalled AI adoption in regulated industries. CoreWeave is addressing the key-custody problem that auditors flag, likely unlocking a new class of compliance-cleared deployments on its infrastructure.

SiliconAngle
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
AI illustration by KeyNews
Chips02

Toyota’s $6.4bn robotics estimate puts physical AI in focus

Toyota's massive robotics investment signals how AI-driven factory automation is reshaping compute and hardware demand beyond data centers. A concrete case study in how physical AI is remaking industrial capex.

AI News
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
AI illustration by KeyNews
Chips03

How AI is changing the infrastructure conversation

As enterprises rethink compute, storage, and networking for AI workloads, the infrastructure buildout is shifting how organizations budget and partner with vendors. This is the behind-the-scenes architecture story practitioners need to understand.

ITPro